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Vendor dossier / Video

Runway

Creative AI platform and generative video model provider for advanced visual production.

What it is

Official-source notesVideoscaling

Runway’s creative offering includes generation models and an agentic creative collaborator. Model, duration and resolution change credit consumption; API pricing is a separate surface. [V1] [V2]

Documented means the statement is present in the cited material. Capability effectiveness, customer outcomes and security assurances have not been independently audited here.

Promoted use cases

  • Generate campaign video assets
  • Explore and edit creative directions
  • Integrate media generation into custom workflows

The video category contains asynchronous content generators and real-time conversational interfaces. They should not be treated as identical products. For generated media, the workflow is brief, script, production, review and distribution. For a live avatar, latency, customer identity, interruption handling and escalation become central. The relevant comparison depends on which experience the buyer needs.

Pricing and buying model

Published commercial evidence

$15 / month

Standard monthly or $12/month annual; 625 credits. Pro $35/$28; Max $95/$76.

Check current commercial source ↗

Budget for implementation, model and tool usage, data, human review and ongoing support. Credit units and outcome definitions differ between vendors. A missing numeric rate is marked unverified rather than replaced with an old third-party estimate.

Collaboration and governance

Evaluate brand approval and rights management in the production workflow. Creative generation credits do not include a complete growth operating layer.

The relevant unit of control is permission to publish media or execute a customer-facing interaction. Inspect who can propose, approve, execute, interrupt and audit that action. Shared seats, shared content and a shared live agent session are different capabilities; require a demonstration of the one your process needs.

Evaluate memory correction, permission revocation and release control for updated instructions. An improvement loop should preserve the original evidence, proposed change, test results and named approver. A safety or security badge alone cannot establish those workflow properties.

Review and customer evidence

No independent review sample was verified in this research pass. Vendor-hosted testimonials are selection-biased customer evidence, not an aggregate rating.

Before relying on a testimonial, confirm the exact product, version, package, workload and baseline. Ask a relevant customer about setup effort, failed cases, ongoing manual work and support after launch. This dossier does not convert customer logos or vendor-hosted awards into independent proof.

Focused feature documentation

Focused documentation check · Sep 2026

Creative workspace credits and generation controls

Runway documents a workspace model for collaborative video production and a shared credit pool on its Team plan. Its credit guide notes model-specific rates, including an example of 12 credits per second for Gen-4.5. Workspace administrators can set a credit cap, which stops generation at the limit. API purchases are separate from app plan credits, so a product workflow that uses both needs two usage lines.

For a campaign pilot, record input rights, model, seconds requested, unsuccessful generations, accepted clips and who can raise the workspace cap. This reveals budget behavior and human production effort. Runway is a powerful media generation component, but shared creative assets alone do not establish cross-funnel memory or governed CRM and customer-service actions.

Primary sources: Official plan page ↗ · Official credits help ↗ · Official workspace cap ↗

Published documentation and public illustrations; account behaviour was not independently tested.

Visual source

Public Runway source page captured 22 September 2026
Runway · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗

Fit, limitations and proof requests

Editorial assessment

Runway is both a tool and an infrastructure component for creative systems. Nagent could complement it through briefs, review and delivery rather than replacing its generation models.

Priority question: How many iterations are normally required for an approved asset, and which API or workspace charges cover them?

The evaluation owner should be the content producer or customer-experience designer. Use usable media and correctly completed audience tasks as the business target. Judge the solution in its own stack role: a cloud runtime, a specialist production tool and a managed AI team can be complementary purchases.

Use-case evaluation plan

Script to approved business video

Provide a short product script, style references, pronunciation notes and approved likeness permissions. Ask for a first cut and one factual revision. Record how much of the asset must be regenerated, how reviewers leave feedback and whether changes propagate consistently across formats.

Measure: accepted output, correction time, generation cost and rights traceability.

Localization without factual drift

Translate a finished explanation into two target languages and ask qualified human reviewers to assess meaning, pronunciation and visual consistency. Include a product name, a number and a claim that must not change. Measure localized acceptance rather than the number of languages advertised.

Measure: meaning preservation, correction burden and cost per accepted localized minute.

Interactive video with bounded actions

Where the product supports real-time interaction, introduce interruption, ambiguous identity and an action requiring approval. The presenter should acknowledge uncertainty and hand off appropriately. For a generation-only product, mark this scenario out of scope rather than treating missing live interaction as poor video quality.

Measure: latency, graceful interruption, correct handoff and authorization failures.

Detailed comparison

Read the detailed Nagent vs Runway guide for operating models, shared context, governance, cost, evidence gaps and a staged pilot.

Nagent vs Runway

Sources and evidence register

  • V1 · Official product / pricing source
    Runway · product ↗https://runway.com/ · Public material checked 21–29 September 2026
  • V2 · Official product / pricing source
    Runway · commercial / feature reference ↗https://runway.com/pricing · Public material checked 21–29 September 2026
  • V3 · Official source
    Official plan page ↗https://runway.com/pricing · Public material checked 21–29 September 2026
  • V4 · Official source
    Official credits help ↗https://help.runwayml.com/hc/en-us/articles/15124877443219-How-do-credits-work · Public material checked 21–29 September 2026
  • V5 · Official source
    Official workspace cap ↗https://help.runwayml.com/hc/en-us/articles/54210861301907-Setting-a-workspace-s-credit-cap · Public material checked 21–29 September 2026
  • N1 · Official source
    Nagent · platform, workspace and security ↗https://nagent.ai/platform · Public material checked 21–29 September 2026
  • N2 · Official source
    Nagent · security and compliance ↗https://nagent.ai/dev-technology/security-and-compliance · Public material checked 21–29 September 2026
  • N3 · Official source
    Nagent · published plans ↗https://nagent.ai/pricing · Public material checked 21–29 September 2026
  • THESIS · Official source
    The Nagent Thesis ↗https://nagent.ai/artefacts/nagent-thesis · Public material checked 21–29 September 2026
  • GOVERNANCE-SOURCE · Official source
    State of Agent Governance ↗https://nagent.ai/artefacts/state-of-agent-governance · Public material checked 21–29 September 2026
Nagent · Multiplayer AI for growth teamsResearch: 21–29 September 2026 · Public-source analysis, no hands-on benchmark · Sources & method